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    ENGI5927 Tutorial 2 – Quick Method for Bending Moment Diagrams   1    Problem 1 (to be done by TA) – cantilever under 5 kN point load at end‚ and 3 kN‐m moment at  midspan.  Appendix A has the calculations for doing the shear and bending moment diagrams the “old  fashioned” (and much slower) way.                        ENGI5927 Tutorial 2 – Quick Method for Bending Moment Diagrams   2    Problem 2 (to be done by you guys) – simply supported beam with two loads (from Topic 1b Notes).   Bearings are self‐aligning

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    BS3572 Industrial Economics Tutorial 1 Exercise 1 Consider a perfectly competitive market. Market demand is Q = 860 10p. There are initially n = 20 identical …rms in the market‚ and each …rm’ costs are C (q) = 200 + 2q + 0:5q 2 . s 1. Find the supply curve of an individual …rm and the aggregate supply curve of all …rms. Calculate the competitive equilibrium price. Determine the equilibrium output and pro…t of an individual …rm. 2. Derive expressions for the price elasticity of market demand

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    This week’s tutorial mainly focuses on how to prepare and deliver an effective presentation. During the tutorial‚ there are two activities were organized. The one activity is that each group prepares a presentation based on the topic “The Best Job All over the World”. It is a practical way to develop the logic thoughts. The different is that one member of each group would film the process of the group presentation. After the presentation‚ each group could know about their performance. In addition

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    TUTORIAL 8

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    INCEIF The Global University in Islamic finance Kuala Lumpur‚ Malaysia MASTERS IN ISLAMIC FINANCE PRACTICE (MIFP) Assignment for QM5013 QUANTITATIVE ANALYSIS "Topic " Tutorial EIGHT Answers Semester June‚ 2014 Facilitator: PROF. Assoc. Prof Dr. Baharom Abd Hamid Name: MUSTAFA KASSIM AHMED ID: 1100386 TUTORIAL 8 QUANTITATIVE ANALYSIS QUESTION 1: A sample of 40 observations is selected from one population with a population standard deviation of 5. The sample mean is 102. A sample

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    LENDING BFS 3001 UNIVERSITY OF TECHNOLOGY‚ JAMAICA SCHOOL OF BUSINESS ADMINISTRATION SEMESTER 2 2009/10 UNIT 3–TUTORIAL: CHAPTER 4 Q1. Define credit risk. The remaining questions are based on the following proposal. A financial services provider that provides computer software systems approaches you. The company started off as a small private company and has grown strongly over the past fifteen years and listed on the Australian Stock Exchange. The company has businesses

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    BIRLA INSTITUTE OF TECHNOLOGY AND SCIENCE‚ PILANI - K.K. BIRLA GOA CAMPUS Mathematics-2 Tutorial–1 1. Use the Gaussian elimination method to solve each of the following systems of linear equations: (a) −5x1 − 2x2 + 2x3 = 14 3x1 + x2 − x3 = −8 2x1 + 2x2 − x3 = −3 (b) 3x1 − 2x2 + 4x3 = −54 −x1 + x2 − 2x3 = 20 5x1 − 4x2 + 8x3 = −83 2. Find the quadratic equation y = ax2 + bx + c that goes through the points (3‚ 18)‚ (2‚ 9) and (−2‚ 13). 3. Use the Gauss Jordan method to determine the complete solution

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    ................................................................................................ 10 II. Developers ........................................................................................................................... 11 4. Tutorials ...................................................................................................................... 13 Setting up the Development Environment ...................................................................... 13 Introduction

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    The AVR Microcontroller Introduction Application and programmer boards WinAVR Basic I/O ADC‚ timers USART‚ LCD Mehul Tikekar Chiraag Juvekar Electronics Club September 29‚ 2009 What is a microcontroller?   It is essentially a small computer Compare a typical microcontroller (uC) with a typical desktop ATmega16 Typical desktop Clock frequency CPU data size RAM ROM I/O 16MHz 8 bits 1KB 16KB 32 pins 3GHz 32 bits 1GB 160GB Keyboard‚ monitor 65W Power consumption 20mW 2

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    Tutorial 4: Estimations 1. A process producing bricks is known to yield output whose weights are normally distributed with a standard deviation of 0.12lb. A random sample of 40 bricks from a day’s output had a mean weight of 4.07lb. (i) Find a 99% confidence interval for the mean weight of all bricks produced on that day. (ii) Estimate the smallest sample size required if the error in estimating the population mean weight of all bricks is to be within  0.03lb with 95% confidence.

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    Computer Systems & Applications (CSA) – BBT1001 Lecture: Week 3- Chapter 7: The Web and E-Mail Tutorial Lesson Period: Week 4 Reference: Parsons‚ J.J & Oja‚ D.(2013) Computers Concepts 2013 Introductory‚ International Edition. Course Technology Cengage Learning‚ USA. ISBN-13: 978-1-133-19084-4 Multiple-Choice Questions 1. Which of the following Web-based applications is NOT sometimes characterized as Web 2.0? a. wikis c. social networking b. blogs d. cloud computing Answer the following questions

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